Parallel algorithms, global optimization, with applications to computational biology.

I have done extensive research on large-scale numerical optimization methods and applications. My current research interests include parallel algorithms for global optimization with applications to computational biology. These applications are homology-based prediction of protein fragment and fold structure from sequence, and ligand-protein docking based on the global minimization of an energy function. I am also doing research on structure preserving approximation and parameter estimation in nonlinear systems, based on minimizing the error in the one, two or infinity norm.

My current positions are

• Professor Emeritus, Univ. of Minnesota
• Adjunct Professor, Computer Science and Engineering, UCSD
• Senior Fellow at the San Diego Supercomputer Center
• Faculty Member of the UCSD Graduate Bioinformatics Program

Earlier Positions include:

• Manhattan Project (1944-47)
• Postdoc Fellow, Forrestal Center, Princeton University (1952-55)
• Head, Applied Math Dept., Shell Development Co.(1955-62)
• Visiting Professor, Computer Science Dept., Stanford University (1962-64)
• Professor, CSci Dept., Univ. of Wisconsin (1964-71), Chair 1965-68.
• Professor, CSci Dept., Univ. of Minnesota (1971-92), Chair 1972-81.

I received a BS in Electrical Engineering from Johns Hopkins Univ. in 1943, and a PhD in Applied Math from Columbia Univ. in 1952.

Click here for a list of recent papers.

Click here for Jacobs School of Engineering Biography.

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e-mail: jbrosen@cs.ucsd.edu

This Page Last Updated February 5, 2004